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The Llanos basin is the most prolific of the Colombian basins; however few stratigraphic plays havebeen explored due to the uncertainty in determining the lithology of the channels. Inside a migrated2D section, a wide channel was identified inside a prospective sandy unit of the Carbonera Formation,composed by intercalations of sand and shale levels, and considered a main reservoir in this part ofthe basin. However, the lithology filling the channel was unknown due to the absence of wells. To infer thechannel lithology, and diminish the prospective risk a model based pre-stack seismic inversion was proposed.However, without well logs available along the line, the uncertain initial model diminishes reliance on theinversion. To circumvent this impasse, a seismic inversion with a genetic algorithm was proposed. The algorithmwas tested on synthetic seismograms and real data from an area of the basin, where well logs wereavailable. The error analysis between the expected and the inverted results, in both scenarios, pointed out agood algorithmic performance. Then, the algorithm was applied to the pre stack data of the 2D line wherethe channel had been identified.According to the inverted results and rock physics analysis of wells near the seismic line with comparativegeology, classified the channel was described as to be filled by silt, shale and probably some levels of shalysands, increasing the exploratory risk because this lithology has low porosity and permeability, contrary to theproducing reservoirs in neighbor fields, characterized by clean sands of high porosity.The algorithm is useful in areas with few or no borehole logs.

Pre-stack seismic inversion based on a genetic algorithm: A case from the llanos basin (Colombia) in the absence of well information